Instructions to use hf-internal-testing/tiny-random-BeitBackbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BeitBackbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, BeitBackbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") model = BeitBackbone.from_pretrained("hf-internal-testing/tiny-random-BeitBackbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff2c980593c7acb958a263e79e682a5c011851ac5eae9cc4519e087562e3743b
- Size of remote file:
- 118 kB
- SHA256:
- 5878bf0946792667131975b4f5e4841c6ddfc9dafde553c50f6f12329b86d51b
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